Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- European Space Agency
- Utrecht University
- Delft University of Technology (TU Delft)
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- CWI
- Radboud University
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- University of Twente
- University of Twente (UT)
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc); Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Wageningen University & Research
- 9 more »
- « less
-
Field
-
to grow by 20% by 2030, these challenges require a shift from isolated logistics operations to collaborative, connected logistics networks. Upcoming policy measures, including kilometre chargers, CO2 caps
-
able to further develop your skills in econometrics and quantitative as well as qualitative methods (e.g., surveys and interviews). Have a basic working knowledge of the Dutch language, because the data
-
disseminating knowledge. You communicate easily in word and writing, have a good proficiency in English, and can work on the various abovementioned aspects independently. You also possess: a PhD in epidemiology
-
/activities Knowledge relevant to the field of research Research/publication record Ability to conduct research autonomously Ability to gather and share relevant information General interest in space and space
-
Organisation of the Dutch Research Council (NWO) . The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade
-
related to the project topic, and have a demonstrated track record of scientific and/or applied research publications. Ideally, you have knowledge of Northwestern European plant species and a solid
-
. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global center of knowledge
-
tracking, reinforcement learning. Experience developing deep learning for real-time medical applications. Stay updated with the latest developments in AI and related fields. Up to date knowledge of AI/ML
-
AI and related fields. Up to date knowledge of AI/ML state of the art, including scientific literature, tools, models, best practices. Initiative and ability to work independently and collaboratively
-
expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs